Jack Mallah wrote:
> Hi George. The everything list feels just like old times, no? Which is nice in a way but has a big drawback - I can only take so much of arguing the same old things, and being outnumbered. And that limit is approaching fast again. At least I think your point here is new to the list.
>
I have also been overwhelmed by the volume on this list. The idea is not
to take more than you can chew.
> --- On Wed, 2/11/09, George Levy <glevy.domain.name.hidden> wrote:
>
>> One could argue that measure actually increases continuously and corresponds to the increase in entropy occurring in everyday life. So even if you are 90 or 100 years old you could still experience an increase in measure.
>>
>
> I guess you are basing that on some kind of branch-counting idea.
>
> If that were the case, the Born Rule would fail. Perhaps the probability rule would be more like proportionality to norm^2 exp(entropy) instead of just norm^2. If that was it, then for example unstable nuclei would be observed to decay a lot faster than the Born Rule predicts.
>
Yes I am linking the entropy to MW branching. So if you start with a low
entropy state such as the Big Bang or having $1 million after a QS your
entropy is going to increase. (There are many ways I could spend that
million). The number of possible states you can reach increases, hence
your entropy increases.
You say that the Born Rule would fail if measure *increases*. Here is a
counterexample:
Using your own argument I could say that the Born rule would fail if
measure *decreases *according to function f(t). For example it could be
norm^2 f(t) . So using your own argument since the Born rule is only
norm^2 therefore measure stays constant?
I do not understand why you say that the Born rule would fail.
Linking entropy with measure may bring some interesting insights. Let's
see how far we can go with this.
George
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Received on Thu Feb 12 2009 - 00:00:46 PST